Chutong Yang

I am a second-year Ph.D. student in Computer Science at the University of Texas, Austin advised by Prof. Kevin Tian. I completed my Master's at Stanford University, where I was extremely fortunate to work with Prof. Omer Reingold and Prof. Aaron Sidford. I did my undergraduate at the University of California, San Diego, and worked with Max Hopkins.

I have a broad interest in the design and analysis of algorithms in theoretical computer science with particular interests including but not limited to learning theory, differential privacy, algorithmic fairness, optimization and graph theory.

In 2023, I received my Master's in Computer Science degree from Stanford University. In 2020, I received my B.S. double major in Computer Science and Mathematics from the University of California, San Diego.

(Check Google Scholar for a full list of publications.)

Testing Calibration in Nearly-Linear Time
Lunjia Hu, Arun Jambulapati, Kevin Tian, Chutong Yang,
NeurIPS, 2024

Omnipredictors for Constrained Optimization
Lunjia Hu, Inbal Livni-Navon, Omer Reingold, Chutong Yang,
ICML, 2023

Active Learning Polynomial Threshold Functions
Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu
NeurIPS, 2022

University of Texas, Austin
Ph.D. in Computer Science
Aug '23 - Now

Stanford University
Master of Science in Computer Science
Sep '21 - Jun '23

Research:

Research Assistantships from Professor Omer Reingold and Professor Aaron Sidford

Teaching Experience:

Worked as the Course Assistant for CS 161: Design and Analysis of Algorithms
Worked as the Course Assistant for CS 109: Introduction to Probability for Computer Scientists

University of California, San Diego
Bachelor of Science in Computer Science and Mathematics
Sep '16 - Jun '20

Awards:

Graduated from UCSD with Magna Cum Laude and as a Honor CS student

Teaching Experience:

Worked as the Teaching Assistant three times for CSE 101: Design and Analysis of Algorithms

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